161results about How to "Easy input" patented technology

The invention provides an innovative deep concealed ore deposit detection method, which comprehensively utilizes geology, geophysics, geochemistry and remote sensing technologies, and realizes effective integration of multi-source geological data by developing an advanced data fusion algorithm. According to the method, data collected by geological survey, wide-area electromagnetic method exploration, hydrocarbon-mercury superposition halo analysis and aviation hyperspectral remote sensing are subjected to standardized preprocessing, so that the consistency and accuracy of the data are ensured; and then, deep analysis is carried out on the fused data by utilizing machine learning and statistical analysis technologies so as to identify and predict mineralization modes and abnormal regions. Finally, a three-dimensional geologic model is constructed, the form and distribution of an ore deposit are visually displayed, and a scientific basis is provided for geological exploration. The method is characterized in that a multi-source data fusion technology and mineralization mode identification automation and precision are realized, so that the efficiency and the accuracy of deep hidden ore deposit detection are remarkably improved.

The invention discloses an intelligent question answering system and method for cross-domain knowledge reasoning, and relates to the technical field of intelligent question answering. In order to solve the problem that an existing intelligent question answering system is limited by technical shortages and cannot give satisfactory reply to a user in cross-domain question processing, the adopted scheme comprises the steps that a domain knowledge base construction module collects multi-domain knowledge data, and the multi-domain knowledge data is stored in a corresponding domain vector knowledge base after being preprocessed and vectorized; the user interaction module provides an interface, receives input, interacts and returns a result; the field identification module identifies the field and extracts key information by using a large language model; the knowledge retrieval module retrieves related information accordingly; the cross-domain knowledge reasoning module is used for reasoning a knowledge logic relationship of each domain and guiding a large language model to integrate fused knowledge; and the intelligent question-answering module generates prompt words, inputs the prompt words into the large language model to obtain a final response, and returns each result to the user interaction module for display. According to the method, knowledge from multiple fields can be processed, and the method is suitable for various different types of problems and scenes.

The invention relates to the technical field of thermal power plant production management, in particular to a thermal power plant DCS production process intelligent early warning system based on artificial intelligence, which comprises a data acquisition module for receiving real-time production data of each production link of a thermal power plant acquired from a DCS; the data storage module is connected with the data acquisition module and is used for storing the acquired real-time production data; the data preprocessing module is used for preprocessing the stored data; the feature extraction module is used for extracting key feature parameters from the preprocessed data; the model training module is used for training an artificial intelligence model based on historical data and the extracted key feature parameters; the real-time monitoring module is used for monitoring the production process in real time; according to the invention, the method captures the dynamic change of the time sequence data and the mutual relation between the multi-dimensional features, and achieves the more accurate prediction of the future time.

The invention discloses an intelligent medical pre-inquiry method and system based on a multi-modal large model and a medium, and the method comprises the steps: obtaining user input data to recognize a target intention, and when a knowledge question and answer intention is recognized, obtaining a knowledge question and answer module; based on the medical knowledge graph, combining with knowledge keywords in the user input data and utilizing a multi-modal large model to obtain medical answers; when the pre-inquiry intention is recognized, inquiry keywords in the user input data are extracted for slot filling to obtain slot information, and a slot filling strategy is dynamically adjusted based on the slot information and user feedback data; and performing visual display on the medical answers and the health management suggestions based on the user interaction interface, and obtaining user interaction data for human-computer interaction. According to the invention, a natural language processing and multi-modal fusion mode is adopted, so that the information input process of a patient is more convenient; and meanwhile, by introducing dynamic medical history information acquisition and interaction, real-time interaction with the patient is realized, and the user experience of pre-inquiry is improved.

The invention discloses a Mura defect detection method and device of a TFT-LCD display screen and electronic equipment, and relates to the field of display screens. The method comprises the following steps: acquiring an original image of a TFT-LCD display screen to be detected; preprocessing the original image to obtain a target image, the preprocessing including image noise reduction and image enhancement; based on the target image, constructing a multi-scale feature map of the Mura defect, the multi-scale feature map comprising a local mean map and a local variance map under multiple scales: performing adaptive weight fusion on the local mean map and the local variance map to obtain a confidence map of the Mura defect; according to the confidence map, utilizing morphological operation to extract a suspected defect area; performing shape analysis and contrast analysis on the suspected defect area to obtain shape features and contrast features of the suspected defect area; and screening out a target Mura defect region from the suspected defect region based on the shape feature and the contrast feature. By implementing the technical scheme provided by the invention, the accuracy of Mura defect detection is improved.

The invention discloses a method for predicting intestinal preparation of a patient before colonoscopy based on machine learning, and the method comprises the following steps: S1, collecting clinical data of the patient, and carrying out the preprocessing of the clinical data; s2, performing feature selection on the collected clinical data by using a Boruta algorithm, and identifying important features related to insufficient intestinal preparation before colonoscopy; s3, constructing a prediction model by utilizing a machine learning algorithm, evaluating the prediction model by adopting a cross validation method, and selecting an optimal prediction model; s4, explaining the optimal prediction model by adopting an SHAP explaining tree model, and identifying a feature which has the greatest influence on a prediction result; s5, clinical data of a to-be-detected patient are transmitted to the optimal prediction model, and intestinal preparation of the patient before colonoscopy is predicted; according to the method, the risk of insufficient intestinal preparation can be accurately predicted, personalized guidance can be provided, the clinical working efficiency is remarkably improved, and the method has important clinical significance.

The invention provides a piezoelectric self-feedback excitation type miniature electric field sensor, an electric field detection method and a sensor, and is applied to the technical field of electric field sensors. The piezoelectric self-feedback excitation type miniature electric field sensor comprises a substrate used for supporting a vibration pickup reference structure, a piezoelectric driving structure, a mutual shielding electric field sensing structure and an elastic beam; the piezoelectric driving structure is used for enabling the piezoelectric driving structure to deform under the condition that driving voltage is applied to the piezoelectric driving structure so as to enable the elastic beam to generate vibration; the mutual shielding electric field induction structure is used for responding to the vibration of the elastic beam, and the mutual shielding electric field induction structure outputs an induction current signal in a differential form so as to suppress common-mode noise and detect the amplitude intensity of a to-be-detected electric field; and the vibration pickup reference structure is used for responding to the vibration of the elastic beam and outputting a reference current signal so as to adjust the magnitude of the driving voltage and enable the output sensitivity of the piezoelectric self-feedback excitation type miniature electric field sensor to be a preset value.

The invention relates to the field of data processing, in particular to an environment perception data processing method and system based on an intelligent helmet. The method comprises the following steps: acquiring a scene image in front of a user and multi-source environment real-time sensing data; performing scene attribute state analysis on the multi-source environment real-time sensing data, and constructing a real-time scene attribute state diagram; performing contrast dynamic balance adjustment on the scene image in front of the user, performing super-resolution fusion reconstruction, and constructing a super-resolution scene image; performing object visual identification on the super-resolution scene image, and performing object bounding box segmentation processing to obtain a plurality of accurate scene object bounding boxes; and carrying out optical flow motion change analysis on the plurality of accurate scene object bounding boxes, and carrying out space-time scene structure evolution analysis so as to obtain dynamic scene evolution characteristic data. According to the method, the data processing efficiency of the environment perception data is improved, and the environment perception data is visualized more visually.

The invention provides a product recommendation method and device, electronic equipment, a storage medium and a program product. The method comprises the steps of obtaining a query vector; retrieving in a product vector database based on the query vector to obtain a plurality of initial product data; obtaining user basic data and historical behavior data; based on the multiple pieces of initial product data, the basic data and the historical behavior data, performing training through a product recommendation probability prediction model to obtain multiple pieces of target product data; and generating recommendation content of each piece of target product data. According to the product recommendation method provided by the invention, the query vector is generated, rapid matching with the product vector is realized in the product vector database, basic data and historical behavior data are combined on a retrieval result, model input is optimized, and meanwhile, short-term interest and long-term interest are fused in an attention mechanism of the model, so that the product recommendation efficiency is improved. Therefore, the target product data obtained based on the model can better fit the interest of the user on different time scales, and the content is recommended according to the generated accurate product.

The invention relates to the technical field of discharged water recycling, and discloses a discharged water recycling device based on an RO concentrated water system, which comprises a buffer tank, the buffer tank is connected with an ultrafiltration device, the ultrafiltration device is connected with a precision filter, the precision filter is connected with an RO device, the RO device is connected with a nanofiltration device, and the RO device is connected with a product water tank. The concentrated water is filtered by the RO device and then is divided into two paths of produced water, one path is recycled water, the recycled water enters a product water tank after the produced water conductivity and the produced water flow are detected, and the other path is re-concentrated water, and the re-concentrated water enters the nanofiltration device after pressure detection. Excess pressure of the concentrated water RO device is utilized to enter the nanofiltration device, nanofiltration is not provided with a booster pump, energy conservation and consumption reduction are achieved, the structure is simple and reasonable, the nanofiltration device is independent of original main system equipment, normal operation of the main equipment is not affected when the equipment breaks down or stops running, the water treatment capacity of a preceding-stage device can be reduced, waste water discharge is reduced, and the energy utilization rate is increased. The consumption of tap water in the water production process is reduced.

The invention discloses a vacuum freeze dryer, particularly relates to the technical field of vacuum freeze drying, and comprises a drying chamber, a refrigerating system, a vacuum system, a heating system, a control system and an energy recovery device. The drying chamber is used for containing materials, the inner wall of the drying chamber is made of efficient heat insulation materials, the refrigerating system comprises a high-precision temperature sensor and an intelligent temperature controller, the refrigerating temperature fluctuation is accurately controlled within + / -1 DEG C, the vacuum degree fluctuation of the vacuum system is kept within + / -5Pa through a vacuum degree sensor and a stabilizing device, and the heating system adopts uniform heating elements. And it is ensured that the heating temperature nonuniformity is smaller than + / -1 DEG C, a control system achieves automatic drying, and an energy recovery device recovers waste cold and waste heat for other links. The problems that an existing vacuum freeze dryer is low in temperature control precision, unstable in vacuum degree, low in automation degree, low in energy utilization rate and the like are solved, the material quality can be effectively kept, the drying efficiency is improved, and energy consumption is reduced.

The invention belongs to but is not limited to the technical field of wireless communication, and discloses an edge computing enabled air-ground network service deployment and resource allocation method and system, which is characterized in that application programs are strategically deployed and replaced on a UAV (Unmanned Aerial Vehicle), computing resources and power are reasonably allocated, and on the premise that the task execution efficiency and accuracy are ensured, the resource allocation efficiency is improved. The task execution success rate of the IoT equipment in the intelligent railway system is maximized; the mobile edge computing is introduced into the air-space-ground integrated network, the characteristics of flexible deployment and small transmission delay of the UAV in the air-based network are utilized, and the complexity and dynamism of a traffic system are effectively dealt with and the resource allocation and power control are optimized through collaborative optimization of task placement, cache replacement, a resource allocation strategy and the transmission power of IoT (Internet of Things) equipment. According to the method, a deep reinforcement learning framework is adopted, and an algorithm based on a multi-agent depth deterministic strategy gradient is provided to realize joint optimization of task placement, cache replacement, resource allocation and IoT equipment transmission power.

The invention relates to the technical field of image processing, in particular to a compression imaging method and system based on a Swin Transform network, and the method comprises the steps: carrying out the sampling processing of training data through employing a CC Hadamard matrix, obtaining a coding image, training a neural network based on the Swin Transform through employing the coding image, and obtaining an optimal compression reconstruction model; in the system, the optimal compression reconstruction model is loaded into a processing center, multiple low-resolution images collected by a detector are preprocessed to obtain coded images, and then the optimal compression reconstruction model is utilized to obtain reconstructed images. Compared with a common sampling matrix, the system and the method provided by the invention have the advantages that the reconstruction effect after sampling of the CC Hadamard matrix is better, and the reconstruction quality of the image is effectively improved.

The invention provides a fish ingestion intensity evaluation method based on improved VGG16 and a spectrogram, and relates to the field of aquaculture. The method comprises the following steps: acquiring fish ingestion sound signals by adopting a hydrophone, dividing the ingestion sound signals into four types of intensities of'strong ', 'medium', 'weak 'and'no', manually marking the ingestion sound signals, converting the sound signals into spectrograms, and constructing a fish ingestion sound signal data set; an attention mechanism fusion module is designed, the attention mechanism fusion module is integrated on a convolutional neural network, a fish ingestion sound signal data set is used as input, and automatic grading of ingestion intensity is achieved. The method provided by the invention can efficiently evaluate the fish ingestion intensity so as to judge the fish appetite. The method can be applied to fish feeding strategy optimization and behavior research.

The invention relates to a segmentation method for a three-dimensional medical image, in particular to an interactive three-dimensional medical image segmentation method. Comprising the following steps: respectively carrying out preprocessing such as cutting and standardization on to-be-processed data; constructing a neural network based on a visual base model and three-dimensional coding, and in a training stage, inputting training data into the interactive three-dimensional medical image segmentation model for learning; in the test stage, the to-be-segmented data is subjected to online learning through a three-dimensional coding strategy, and further updating of the model is achieved. The invention provides an interactive image segmentation model framework based on a visual base model, an efficient fine tuning strategy and a network structure are adopted, the parameter quantity of the model and the computing power demand of training are reduced, and meanwhile, the high precision and the real-time performance of the model are ensured; a three-dimensional click code extraction strategy is adopted, click information of a user is better input to a network, and the online learning performance of the model is continuously improved.

The invention relates to the technical field of braid winding, and discloses oval small-roll multi-strip winding equipment and a winding process thereof, and the oval small-roll multi-strip winding equipment comprises a table; the two side plates are respectively fixed at two ends of the top surface of the table; the driving structure is arranged on the table; the clamping structure is arranged above the table, the clamping structure is driven by a driving structure, the clamping structure comprises two first clamping plates and two second clamping plates, and the two first clamping plates are arranged right opposite to the two second clamping plates respectively. Through movement of the two first clamping plates and the two second clamping plates and the movable characteristic of the two driving rods, flexible movement of the multiple strip winding pieces is achieved, by means of the design, workers can rapidly replace unused winding plates, tedious disassembly and assembly operation is not needed, and therefore the working efficiency of the whole device is remarkably improved.

The invention relates to a network prediction model for identifying a new cancer gene, a model construction method and application, and belongs to the field of biostatistics. According to the method, genomics, transcriptomics and proteomics data are integrated, a dynamic tensor twinning graph neural network is constructed, a hybrid multilayer random block model is utilized to perform tensor decomposition to extract global and local community features, causal and non-causal information is separated, causal feature mutual information is maximized, and non-causal interference is inhibited, so that the dynamic tensor twinning graph neural network is obtained. The model interpretation force is enhanced; through a dynamic community perception algorithm and a twin graph neural network, inter-layer graph dissimilarity is learned by using a graph similarity function, accurate detection of network structure mutation nodes in a high-frequency dynamic scene is realized, and an independent state transition and co-evolution mode is synchronously positioned. And the biological functions of the candidate genes are verified by combining KEGG pathway enrichment analysis and an independent database. Compared with an existing optimal algorithm, the mutation detection accuracy and the calculation efficiency are remarkably improved, and the AUROC and the AUPRC are both higher than those of an existing advanced recognition method.

The invention relates to a GNSS NLOS data cleaning integrated navigation method based on deep learning, and the method comprises the steps: obtaining carrier sky-direction environment image information, carrying out the preprocessing of the carrier sky-direction environment image information, and obtaining a mask image; inputting the mask image and the carrier original sky direction environment image into a DeepLabV3 + model, and obtaining a category label of each pixel in the image; the method comprises the following steps: acquiring a carrier and an elevation angle and an azimuth angle of a GNSS satellite received by the carrier, constructing a satellite projection model according to the elevation angle, the azimuth angle, camera internal reference and carrier azimuth angle information, and acquiring pixel coordinates of the GNSS satellite in a pixel coordinate system of an image labeled by a category label on the basis of the model; and judging the type of an area where the pixel coordinates are located, judging whether the area is a non-line-of-sight signal or not, giving a weight to the non-line-of-sight signal or the line-of-sight signal, carrying out GNSS satellite position calculation according to the weight, and generating a positioning result.

The invention provides a visual and auditory cross-modal object material retrieval method and system, and relates to the technical field of artificial intelligence. The visual and auditory cross-modal object material retrieval system comprises a data acquisition unit for acquiring visual images containing objects made of various materials and corresponding audio data; feature extraction: feature extraction is performed on the visual and auditory data, visual features include but are not limited to colors, textures and shapes, and auditory features include but are not limited to spectrum features and time domain features; feature fusion: designing a fusion algorithm, and effectively fusing visual and auditory features to form cross-modal feature representation; and retrieving a model, wherein the model can learn a mapping relationship between the cross-modal features and the material of the object. By combining visual and auditory information, the system can more comprehensively understand the characteristics of the object, the visual information can provide the appearance characteristics of the object, the auditory information can provide the dynamic characteristics about the material of the object, and the fusion is beneficial to improving the accuracy of material identification.

The invention provides a printing method and device of an Excel-based printing template system. The method comprises the following steps: making an Excel template according to a receipt printing template requirement of a unit; carrying out the binding of the Excel template; the Excel template obtains data from a database, data filling is carried out through the Apache POI technology, and a complete Excel file filled with the data is generated; converting the Excel file into an HTML (Hypertext Markup Language) code; matching all bound functions in the HTML code through a regular expression, running corresponding function code blocks, and replacing the bound functions with function running results; according to the printing size configured by the template, a script is embedded in an HTML code, and the scaling is adjusted; and the browser executes the printing operation to complete printing, so that the user can quickly print, and the operation difficulty is reduced.

The utility model discloses a baking device for producing glass products, which comprises a baking mounting shell, a baking waste heat recovery component is arranged above the baking mounting shell, a baking mounting component is arranged in the baking mounting shell, and a glass rotating component is arranged on one side of the baking mounting component. The drying effect is improved, water drops left inside are rapidly dried, and the drying efficiency is improved; hot and humid air generated during drying enters the air outlet shell through air draft of the exhaust fan, moisture generated during drying of the drying box body is rapidly exhausted away, dry hot air in the drying box body is guaranteed, the drying effect is further improved, the drying efficiency is improved, in actual use, waste heat recovery is conducted on the hot and humid air through the baking waste heat recovery assembly, and the energy consumption is reduced. The problem that in the prior art, a large amount of heat energy is directly discharged after hot and humid air is exhausted through an exhaust fan, and energy waste is caused is solved.

A control system for a fiber washing system of a wet milling system and related methods are disclosed, the control system comprising a controller comprising one or more processors and an interface, where the one or more processors are configured to: acquire fiber data, the fiber data includes an input fiber parameter indicative of a fiber input to an incubation tank of the fiber washing system; acquiring a time parameter for indicating the incubation time of the slurry in the incubation tank; determining an input scheme based on the fiber data and the time parameter; and controlling one or more input devices of the wet milling system according to the input scheme.

The utility model relates to the related technical field of agriculture, and discloses a protective device for fruit tree planting grafting, which comprises a bearing plate, a height adjusting mechanism is fixedly connected to the top of one side of the front surface of the bearing plate, a support frame is fixedly connected to the front surface of the height adjusting mechanism, and a storage mechanism is fixedly connected to the inside of the support frame. A control valve A is connected to the front face of the outer portion of the storage mechanism in a clamped mode, a vessel is integrally connected to the front face of the storage mechanism, and a control valve B is connected to the outer portion of the vessel in a clamped mode. According to the protection device for fruit tree planting and grafting, through arrangement of a height adjusting mechanism, a supporting frame and a storage mechanism, a lead screw is rotated under the action of a bearing and a sliding rail, the lead screw drives the storage mechanism to move downwards till the storage mechanism is located at a proper height, a nutrient solution is conveniently poured into an irrigation bottle, then the lead screw is rotated anticlockwise, and the storage mechanism is rotated anticlockwise; and the lead screw drives the storage mechanism to move upwards to a proper height.

The utility model provides a novel wind-water spray balance adjusting device, which relates to the technical field of wind-water spray adjustment and comprises an outer sleeve, a wind-water spray pipe is arranged in the outer sleeve, a water pipe is fixedly connected to the middle of the wind-water spray pipe, a water flow meter is arranged at one end of the water pipe, and a water outlet is arranged at the other end of the water pipe. A communicating pipe is arranged at the top of the water flow meter, and a water flow filter is arranged in the communicating pipe. A water source flowing through the water flow meter is metered through the water flow meter, the communicating pipe facilitates connection of the water source, the water flow filter in the water flow meter can filter the water source, the water flow meter can be protected, and the metering accuracy of the water flow meter is improved; in the conveying process, the air speed meter provides air speed metering treatment, the water flow and the air speed are metered, the spraying state is conveniently recorded and analyzed, and balance adjustment can be carried out according to requirements.

The invention discloses an intelligent identification inversion and reproduction method for typical faults of a transformer substation, which comprises the following steps of: calculating a time domain discrete characteristic value by extracting time-frequency domain characteristics of fault recording analog quantity signals; fault recording switching value characteristic parameters including a rising time sequence position coefficient, a falling time sequence position coefficient and an action time proportion coefficient are extracted, and the two types of characteristic values are combined to form an analog-switch fusion characteristic (ASFF); a DC1DCNN-AlexNet model of which the voting weight is optimized by an attention mechanism is constructed; and the two types of ASFF data are respectively input into a DC1DCNN-AlexNet-Attention voting model, and the characteristics of different fault modes are learned and identified by training the DC1DCNN + AlexNet-Attention model. And according to the identified fault type, reproducing a corresponding acousto-optic fault phenomenon.

This invention relates to a single-grain grain analyzer, belonging to the field of grain testing. It includes: a weight detection mechanism, a hardness and moisture detection mechanism, a size detection mechanism, a feeding mechanism, a discharging mechanism, and a transfer mechanism. The feeding mechanism is positioned above the weight detection mechanism; the transfer mechanism is positioned between the weight detection mechanism and the hardness and moisture detection mechanism; the size detection mechanism is positioned close to the transfer mechanism; and the discharging mechanism is positioned below the hardness and moisture detection mechanism. All four mechanisms—weight, hardness and moisture detection, size detection, feeding, discharging, and transfer—are fixedly mounted on a frame. This invention facilitates automated detection of grain size, weight, hardness, and moisture content, reduces the workload of testing personnel, avoids human error, and thus improves the accuracy of test results.

The utility model discloses a large-flow elbow pipe type heat exchanger, and relates to the technical field of heat exchangers. The heat exchanger comprises a heat exchanger cylinder and a heat exchange tube set, the cylinder comprises an upper cylinder and a lower cylinder, an upper confluence channel is arranged in the upper cylinder, an air outlet tube is connected to the outer side of the upper confluence channel, the lower cylinder comprises a cylinder wall, a middle confluence channel is fixed to the outer side of the top end of the cylinder wall, and an air inlet tube is connected to the outer side of the middle confluence channel. Cooling gas is discharged to the bottom from the interlayer of the cylinder wall from top to bottom, the temperature of the outer wall of the heat exchanger can be reduced, heat loss is reduced, namely cold air can exchange heat with hot smoke in the heat exchanger in the interlayer, heat exchange pipes in the center of the heat exchanger are bent and densely arranged, the heat exchange effect of the heat exchanger can be improved, and the heat exchange efficiency of the heat exchanger is improved. And meanwhile, the bent heat exchange tubes do not occupy the space of the top end and the bottom end of the heat exchanger, so that input and output of large-flow flue gas are facilitated, and efficient heat exchange of the large-flow flue gas is achieved.

The utility model discloses a respiratory medicine medicine spraying device which comprises a handheld part, a connector is arranged on the side face of the handheld part, an infusion tube is arranged in the connector, the infusion tube is connected with the connector in a buckled mode, a spray head is arranged at the head end of the infusion tube, and a pressing plate is arranged on the side face of the spray head. And a shunting pipe is arranged in the handheld part. The connector is arranged on the side face of the handheld part, the infusion tube is arranged in the connector, the infusion tube is connected with the connector in a buckled mode, the spray head is arranged at the head end of the infusion tube, the pressing plate is arranged on the side face of the spray head, the pressing plate can press the root of the tongue, and medicine spraying sight is prevented from being blocked; a shunt tube is arranged in the handheld part, a connecting tube is arranged in the infusion tube, the connecting tube is communicated with the shunt tube and the spray head, a needle head is arranged on the side face of the shunt tube, and a medicine bag is plugged into the handheld part to make contact with the needle head, so that liquid medicine is conveniently infused into the infusion tube.

The utility model discloses a preparation tank for producing an environment-friendly additive, which belongs to the technical field of preparation tanks for producing additives, and adopts the technical scheme that the preparation tank comprises a mounting structure, an auxiliary structure is bolted at the bottom of the mounting structure, and the top of a mounting cover is fixedly connected with the bottom of a fixed seat; the bottom of the servo motor is fixedly connected with the top of the paddle type stirring rod, the outer wall of the paddle type stirring rod is rotatably connected with the inner wall of the fixed seat, and the outer wall of the paddle type stirring rod is rotatably connected with the inner wall of the mounting cover. Various raw materials need to be mixed, batch production of the environment-friendly additive needs to be achieved according to the production scale, batch production is conducted on some environment-friendly additives with large market requirements through the preparation tank, the production efficiency can be improved, the production cost can be reduced, and the market requirements can be met.

The application discloses a heat regulation method for a heat supply system heat station based on secondary side flow, comprising: establishing a load prediction model for each heat station; when the heat load of each heat station changes by more than a threshold value, calculating the required secondary side water supply flow according to the heat load prediction value; establishing a plate heat exchanger model for each heat station heat exchanger; based on a double attention mechanism LSTM model, establishing a data-driven model between the adjustment parameters of the secondary side circulating pump and the auxiliary adjustment device of each heat station and the corresponding data including the primary side water supply flow and temperature, the heat exchange amount between the primary side and the secondary side based on the plate heat exchanger model; adjusting the secondary side circulating pump and the auxiliary adjustment device of each heat station according to the data-driven model to meet the required secondary side water supply flow demand value of each heat station and change the heat entering the secondary side from the primary side; correcting the adjustment parameters of the secondary side circulating pump and the auxiliary adjustment device of each heat station to obtain optimal adjustment parameters.